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09/21/2023
Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition
For improving image composition and aesthetic quality, most existing met...
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09/15/2023
MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces
Due to their highly structured characteristics, faces are easier to reco...
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09/13/2023
Aggregating Long-term Sharp Features via Hybrid Transformers for Video Deblurring
Video deblurring methods, aiming at recovering consecutive sharp frames ...
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09/04/2023
Cross-Consistent Deep Unfolding Network for Adaptive All-In-One Video Restoration
Existing Video Restoration (VR) methods always necessitate the individua...
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08/31/2023
Ref-Diff: Zero-shot Referring Image Segmentation with Generative Models
Zero-shot referring image segmentation is a challenging task because it ...
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08/27/2023
VQ-Font: Few-Shot Font Generation with Structure-Aware Enhancement and Quantization
Few-shot font generation is challenging, as it needs to capture the fine...
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08/21/2023
UniM^2AE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous Driving
Masked Autoencoders (MAE) play a pivotal role in learning potent represe...
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08/20/2023
Rethinking Client Drift in Federated Learning: A Logit Perspective
Federated Learning (FL) enables multiple clients to collaboratively lear...
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08/11/2023
Towards Instance-adaptive Inference for Federated Learning
Federated learning (FL) is a distributed learning paradigm that enables ...
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08/11/2023
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning
Benefiting from prompt tuning, recent years have witnessed the promising...
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07/24/2023
Data-free Black-box Attack based on Diffusion Model
Since the training data for the target model in a data-free black-box at...
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07/21/2023
Improving Transferability of Adversarial Examples via Bayesian Attacks
This paper presents a substantial extension of our work published at ICL...
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07/15/2023
DRM-IR: Task-Adaptive Deep Unfolding Network for All-In-One Image Restoration
Existing All-In-One image restoration (IR) methods usually lack flexible...
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05/31/2023
Self-supervised Learning to Bring Dual Reversed Rolling Shutter Images Alive
Modern consumer cameras usually employ the rolling shutter (RS) mechanis...
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05/22/2023
ControlVideo: Training-free Controllable Text-to-Video Generation
Text-driven diffusion models have unlocked unprecedented abilities in im...
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04/26/2023
Improving Adversarial Transferability via Intermediate-level Perturbation Decay
Intermediate-level attacks that attempt to perturb feature representatio...
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04/03/2023
Associating Spatially-Consistent Grouping with Text-supervised Semantic Segmentation
In this work, we investigate performing semantic segmentation solely thr...
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03/28/2023
Learning Federated Visual Prompt in Null Space for MRI Reconstruction
Federated Magnetic Resonance Imaging (MRI) reconstruction enables multip...
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03/27/2023
Joint Video Multi-Frame Interpolation and Deblurring under Unknown Exposure Time
Natural videos captured by consumer cameras often suffer from low framer...
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03/26/2023
Learning Generative Structure Prior for Blind Text Image Super-resolution
Blind text image super-resolution (SR) is challenging as one needs to co...
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03/12/2023
Towards Universal Vision-language Omni-supervised Segmentation
Existing open-world universal segmentation approaches usually leverage C...
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02/10/2023
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples
The transferability of adversarial examples across deep neural networks ...
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12/27/2022
Position-Aware Contrastive Alignment for Referring Image Segmentation
Referring image segmentation aims to segment the target object described...
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11/26/2022
Learning Single Image Defocus Deblurring with Misaligned Training Pairs
By adopting popular pixel-wise loss, existing methods for defocus deblur...
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11/23/2022
Texts as Images in Prompt Tuning for Multi-Label Image Recognition
Prompt tuning has been employed as an efficient way to adapt large visio...
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10/15/2022
Learning Dual Memory Dictionaries for Blind Face Restoration
To improve the performance of blind face restoration, recent works mainl...
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10/13/2022
ImaginaryNet: Learning Object Detectors without Real Images and Annotations
Without the demand of training in reality, humans can easily detect a kn...
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10/03/2022
CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training
Pre-training across 3D vision and language remains under development bec...
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10/03/2022
LPT: Long-tailed Prompt Tuning for Image Classification
For long-tailed classification, most works often pretrain a big model on...
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10/03/2022
From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution
Designing proper training pairs is critical for super-resolving the real...
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09/26/2022
A heterogeneous group CNN for image super-resolution
Convolutional neural networks (CNNs) have obtained remarkable performanc...
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09/26/2022
Multi-stage image denoising with the wavelet transform
Deep convolutional neural networks (CNNs) are used for image denoising v...
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08/08/2022
Two-Stream Networks for Object Segmentation in Videos
Existing matching-based approaches perform video object segmentation (VO...
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07/25/2022
W2N:Switching From Weak Supervision to Noisy Supervision for Object Detection
Weakly-supervised object detection (WSOD) aims to train an object detect...
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07/21/2022
A Survey on Leveraging Pre-trained Generative Adversarial Networks for Image Editing and Restoration
Generative adversarial networks (GANs) have drawn enormous attention due...
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07/18/2022
Towards Diverse and Faithful One-shot Adaption of Generative Adversarial Networks
One-shot generative domain adaption aims to transfer a pre-trained gener...
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07/13/2022
Symmetry-Aware Transformer-based Mirror Detection
Mirror detection aims to identify the mirror regions in the given input ...
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07/12/2022
Learning Diverse Tone Styles for Image Retouching
Image retouching, aiming to regenerate the visually pleasing renditions ...
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06/16/2022
An Improved Normed-Deformable Convolution for Crowd Counting
In recent years, crowd counting has become an important issue in compute...
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06/08/2022
Robust Deep Ensemble Method for Real-world Image Denoising
Recently, deep learning-based image denoising methods have achieved prom...
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05/29/2022
Image Super-resolution with An Enhanced Group Convolutional Neural Network
CNNs with strong learning abilities are widely chosen to resolve super-r...
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05/23/2022
Collaborative Adversarial Training
The vulnerability of deep neural networks (DNNs) to adversarial examples...
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04/28/2022
Generative Adversarial Networks for Image Super-Resolution: A Survey
Single image super-resolution (SISR) has played an important role in the...
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04/26/2022
Learning Dual-Pixel Alignment for Defocus Deblurring
It is a challenging task to recover all-in-focus image from a single def...
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04/19/2022
Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment
Full-reference (FR) image quality assessment (IQA) evaluates the visual ...
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04/12/2022
Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-ahead Forward Ones
While significant progress has been made in deep video denoising, it rem...
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04/06/2022
Retrieval-based Spatially Adaptive Normalization for Semantic Image Synthesis
Semantic image synthesis is a challenging task with many practical appli...
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04/04/2022
Adaptive Network Combination for Single-Image Reflection Removal: A Domain Generalization Perspective
Recently, multiple synthetic and real-world datasets have been built to ...
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03/31/2022
Semantic-shape Adaptive Feature Modulation for Semantic Image Synthesis
Recent years have witnessed substantial progress in semantic image synth...
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03/21/2022